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financial-twhin-bert-large-3labels-pesudo-bb-only – AI Model by kekunh | AlphaNeural AI
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kekunh
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financial-twhin-bert-large-3labels-pesudo-bb-only
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
en
kekunh/stock-related-tweets
zeroshot/twitter-financial-news-sentiment
Twitter/twhin-bert-large
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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financial-twhin-bert-large-3labels-pesudo-bb-only
This model is a fine-tuned version of
Twitter/twhin-bert-large
on finance-related tweets. It achieves the following results on the evaluation set:
Loss: 0.4379
Accuracy: 0.8847
F1: 0.8857
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 3.812006227593217e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5859
1.0
2283
1.5711
0.2039
0.0800
0.1601
2.0
4566
0.4379
0.8847
0.8857
0.0875
3.0
6849
0.5111
0.8854
0.8868
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
